This paper presents a general and model independent analysis of the problem of feature extraction in pattern recognition. We will derive two criteria which ensure the existence of a complete feature space. This is a space which contains exactly the information relevant for the classiication process following feature extraction. We discuss several possibilities for the construction of such a com...

A key element of many bioinformatics research problems is the extraction of meaningful information from large experimental data sets. Various approaches, including statistical and graph theoretical methods, data mining, and computational pattern recognition, have been applied to this task with varying degrees of success. We have previously shown that a genetic algorithm coupled with a knearest-...

automatic facial recognition has many potential applications in different areas of humancomputer interaction. however, they are not yet fully realized due to the lack of an effectivefacial feature descriptor. in this paper, we present a new appearance based feature descriptor,the local directional pattern (ldp), to represent facial geometry and analyze its performance inrecognition. an ldp feat...

Information Extraction (IE) is a technology for "reading" reports and picking out the bits of information that are needed by users. Hypermedia relies on a combination of knowledge representation e.g. semantic links, text analysis; and "canned" knowledge in different presentation formats. Successful information access and presentation depends on an information base where the information is repre...

In a project on the analysis and standardization of Ayurvedic medicines, a chemical methodology for Dasamulam Kasayam for the comparison of market samples with a laboratory sample of Dasamulam Kasayam, and recording of characteristics like colour, consistency, smell, taste acidity, density, water soluble content and ash content. Adsorption of the Kasayam on silicagel, followed by extraction wit...

Several recently reported techniques for the automatic acquisition of Information Extraction (IE) systems have used dependency trees as the basis of their extraction pattern representation. These approaches have used a variety of pattern models (schemes for representing IE patterns based on particular parts of the dependency analysis). An appropriate model should be expressive enough to represe...